Training acoustic models using distributed computing techniques

Patent metadata

Field	Value
Publication number	US-8959014-B2
Application number	US-201213539225-A
Country	US
Kind code	B2
Filing date	Jun 29, 2012
Priority date	Jun 30, 2011
Publication date	Feb 17, 2015
Grant date	Feb 17, 2015

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training acoustic models. Speech data and data identifying a transcription for the speech data are received. A phonetic representation for the transcription is accessed. Training sequences are identified for a particular phone in the phonetic representation. Each of the training sequences includes a different set of contextual phones surrounding the particular phone. A partitioning key is identified based on a sequence of phones that occurs in each of the training sequences. A processing module to which the identified partitioning key is assigned is selected. Data identifying the training sequences and a portion of the speech data are transmitted to the selected processing module.

First claim

What is claimed is

1. A system comprising:
one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
receiving speech data and data identifying a transcription for the speech data;
accessing a phonetic representation for the transcription;
extracting training sequences from the phonetic representation for a particular phone in th…

Assignees

• Xu Peng
• Pereira Fernando
• Chelba Ciprian I
• Google Inc

Inventors

• Xu Peng
• Pereira Fernando
• Chelba Ciprian I

Classifications

• G10L15/063

  Physics · mapped topic

• G10L15/187 Primary

  Physics · mapped topic

• G10L15/34

  Physics · mapped topic

• G10L2015/0631

  Physics · mapped topic

• G10L15/14

  Physics · mapped topic